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机器人学是一门综合性学科，领域广、内容多，研究方向涉及机器人本体机构、传感器设计、信号处理、控制策略、人机交互、多机协作等。 机器人（Robot）是自动执行工作的机器装置。它既可以接受人类指挥，又可以运行预先编排的程序，也可以根据以人工智能技术制定的原则纲领行动。它的任务是协助或取代人类工作的工作，例如生产业、建筑业，或是危险的工作。
Bringing Network Coding into Multi-Robot Systems: Interplay Study for Autonomous Systems over Wireless Communications
Arxiv
0+阅读 · 3月18日
Interpreting Context-Aware Human Preferences for Multi-Objective Robot Navigation
Arxiv
0+阅读 · 3月18日
TwinTrack: Bridging Vision and Contact Physics for Real-Time Tracking of Unknown Objects in Contact-Rich Scenes
TwinTrack: Bridging Vision and Contact Physics for Real-Time Tracking of Unknown Objects in Contact-Rich Scenes
Arxiv
0+阅读 · 3月18日
Asymmetric Nash Seeking via Best Response Maps: Global Linear Convergence and Robustness to Inexact Reaction Models
Asymmetric Nash Seeking via Best Response Maps: Global Linear Convergence and Robustness to Inexact Reaction Models
Arxiv
0+阅读 · 3月17日
Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks
Arxiv
0+阅读 · 3月18日
Swarm Self Clustering for Communication denied Environments without Global Positioning
Swarm Self Clustering for Communication denied Environments without Global Positioning
Arxiv
0+阅读 · 3月18日
IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping
Arxiv
0+阅读 · 3月18日
Mimic Intent, Not Just Trajectories
Arxiv
0+阅读 · 3月18日
OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
Arxiv
0+阅读 · 3月18日
MG-Grasp: Metric-Scale Geometric 6-DoF Grasping Framework with Sparse RGB Observations
MG-Grasp: Metric-Scale Geometric 6-DoF Grasping Framework with Sparse RGB Observations
Arxiv
0+阅读 · 3月18日
S-VAM: Shortcut Video-Action Model by Self-Distilling Geometric and Semantic Foresight
S-VAM: Shortcut Video-Action Model by Self-Distilling Geometric and Semantic Foresight
Arxiv
0+阅读 · 3月18日
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
Arxiv
0+阅读 · 3月18日
FloorPlan-VLN: A New Paradigm for Floor Plan Guided Vision-Language Navigation
Arxiv
0+阅读 · 3月18日
See, Plan, Cut: MPC-Based Autonomous Volumetric Robotic Laser Surgery with OCT Guidance
Arxiv
0+阅读 · 3月18日
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
Arxiv
0+阅读 · 3月18日
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